An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation.

ABSTRACT:

Background

Medical coding is the process that converts clinical documentation into standard medical codes. Codes are used for several key purposes in a hospital (eg, insurance reimbursement and performance analysis); therefore, their optimization is crucial. With the rapid growth of natural language processing technologies, several solutions based on artificial intelligence have been proposed to aid in medical coding by automatically suggesting relevant codes for clinical documents. However, their effectiveness is still limited to simple cases, and it is not yet clear how much value they can bring in improving coding efficiency and accuracy.

Objective

This study aimed to bring more efficiency to the coding process to improve the selection of codes by medical coders. To achie

SUBMITTER: Xu HA 

PROVIDER: S-EPMC9896350 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature